AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 437 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.Which of these uses AI? (a) a digital watch (b) a light switch (c) face unlock on a phone (d) a fan regulator
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) composing a new tune (c) sorting photos by face (d) predicting rain
4. 4.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
6. 6.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) the learned patterns (d) labelled fruit photos
7. 7.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) test on one group only (d) ask different people
8. 8.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can make up facts (c) AI knows everything (d) AI learns from data
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
10. 10.True or false: “naming a new leaf” is a prediction. (a) False (b) True
11. 11.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
12. 12.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) never learns from data (d) learns from examples
13. 13.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it may get it wrong (d) it will shut down
14. 14.Which of these is training data? (a) past weather records (b) the trained program (c) naming a new fruit photo (d) what training builds
15. 15.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
16. 16.True or false: “naming a new leaf” is the model. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) examples of every type (d) wrong labels
19. 19.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a summary (d) a password
20. 20.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
21. 21.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
22. 22.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
23. 23.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
24. 24.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) labelled fruit photos (d) what training builds
25. 25.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
26. 26.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
27. 27.Which of these describes how a normal program works? (a) handles unseen examples (b) never learns from data (c) gives a likely answer (d) makes a best guess
28. 28.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
29. 29.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) AI learns from data (d) AI knows everything
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
31. 31.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
32. 32.Which of these is not AI? (a) photos grouped by face (b) a map predicting traffic (c) an AI chatbot (d) a light switch
33. 33.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
34. 34.True or false: “add more of the same” adds to bias. (a) False (b) True
35. 35.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) ignore complaints (d) test on one group only
36. 36.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
37. 37.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
38. 38.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
39. 39.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recognising (b) predicting (c) recommending (d) generating
40. 40.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)

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